IDEAS home Printed from https://ideas.repec.org/a/ijm/journl/v7y2014i3p33-52.html
   My bibliography  Save this article

Editorial Volume 7(3)

Author

Listed:
  • Hannah E Carter

    (University of Sydney. Locked Bag 77, Camperdown NSW 2050)

  • Deborah J Schofield

    (University of Sydney. Locked Bag 77, Camperdown NSW 2050)

  • Rupendra Shrestha

    (University of Sydney. Locked Bag 77, Camperdown NSW 2050)

Abstract

While the direct costs of mortality to the health care system are known to be significant, there is less information regarding the wider economic impacts of mortality including the implications for productivity, household incomes and government revenue. This paper outlines the development of LifeLossMOD, a new microsimulation model to estimate the economic impacts of premature mortality in Australia. The model is based on a census of 2003 mortality records and applies projections from the APPSIM microsimulation model to estimate the counterfactual lifetime trajectories forgone to the year 2030. We estimated that mortality in 2003 accounted for over 280,000 full time working years lost to the Australian economy. Future applications of LifeLossMOD will explore the distributional impacts of mortality on employment, GDP, government revenue and household income, wealth and retirement savings. These estimates will allow decision makers and others to more accurately determine the full economic impacts of mortality by cause. In addition, the model will be able to quantify the financial gains likely to accrue with preventative health care interventions, which can in turn be reported on in cost effectiveness analyses.

Suggested Citation

  • Hannah E Carter & Deborah J Schofield & Rupendra Shrestha, 2014. "Editorial Volume 7(3)," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 33-52.
  • Handle: RePEc:ijm:journl:v:7:y:2014:i:3:p:33-52
    as

    Download full text from publisher

    File URL: http://www.microsimulation.org/IJM/V7_3/3_IJM_7_3_Carter_Schofield_Shrestha.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deborah Cobb‐Clark, 2001. "The Longitudinal Survey of Immigrants to Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 34(4), pages 467-477, December.
    2. Deborah Schofield & Megan Passey & Arul Earnest & Richard Percival & Simon Kelly & Rupendra Shrestha & Susan Fletcher, 2009. "Case Studies - Health&WealthMOD: a microsimulation model of the economic impacts of diseases on older workers," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 58-63.
    3. Seshamani, Meena & Gray, Alastair M., 2004. "A longitudinal study of the effects of age and time to death on hospital costs," Journal of Health Economics, Elsevier, vol. 23(2), pages 217-235, March.
    4. Deborah Schofield & Rupendra Shrestha & Emily Callander & Richard Pervical & Simon Kelly & Megan Passey & Susan Fletcher, 2011. "Modelling the cost of ill health in Health&WealthMOD (Version II): lost labour force participation, income and taxation, and the impact of disease prevention," International Journal of Microsimulation, International Microsimulation Association, vol. 4(3), pages 32-36.
    5. Wei Zhang & Aslam Anis, 2014. "Health-Related Productivity Loss: NICE to Recognize Soon, Good to Discuss Now," PharmacoEconomics, Springer, vol. 32(5), pages 425-427, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deborah Schofield & Rupendra Shrestha & Simon Kelly & Lennert Veerman & Robert Tanton & Megan Passey & Theo Vos & Michelle Cunich & Emily Callander, 2014. "Health&WealthMOD2030: A Microsimulation Model of the Long Term Economic Impacts of Disease Leading to Premature Retirements of Australians Aged 45-64 Years Old," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 94-118.
    2. Ahn T. Le, 2003. "Female Labour Market Participation: Differences Between Primary and Tied Movers," Economics Discussion / Working Papers 03-17, The University of Western Australia, Department of Economics.
    3. Pieter H. M. van Baal & Talitha L. Feenstra & Rudolf T. Hoogenveen & G. Ardine de Wit & Werner B. F. Brouwer, 2007. "Unrelated medical care in life years gained and the cost utility of primary prevention: in search of a ‘perfect’ cost–utility ratio," Health Economics, John Wiley & Sons, Ltd., vol. 16(4), pages 421-433, April.
    4. Hannah E Carter & Deborah J Schofield & Rupendra Shrestha, 2016. "The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-13, December.
    5. Błażej Łyszczarz, 2018. "Determinanty wydatków na zdrowie w gospodarstwach domowych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 137-157.
    6. Tani, Massimiliano, 2017. "Local signals and the returns to foreign education," Economics of Education Review, Elsevier, vol. 61(C), pages 174-190.
    7. Peter Zweifel & Friedrich Breyer, 2012. "The Economics of Social Health Insurance," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 12, Edward Elgar Publishing.
    8. Vincenzo Atella & Valentina Conti, 2013. "The effect of age and time to death on health care expenditures: the Italian experience," CEIS Research Paper 267, Tor Vergata University, CEIS, revised 12 Nov 2013.
    9. Jochen Hartwig, 2011. "Can Baumol's model of unbalanced growth contribute to explaining the secular rise in health care expenditure? An alternative test," Applied Economics, Taylor & Francis Journals, vol. 43(2), pages 173-184.
    10. Y. TAMSAMANI, Yasser, 2017. "L’évolution des dépenses de santé au Maroc : une analyse des déterminants démographiques et macro-économiques [The Evolution of the Health Expenditures in Morocco: A Demographics and Macroeconomics," MPRA Paper 83996, University Library of Munich, Germany, revised 18 Jan 2018.
    11. Chang, Shyr-Juh & Hsiao, Hsing-Chin & Huang, Li-Hua & Chang, Hsihui, 2011. "Taiwan quality indicator project and hospital productivity growth," Omega, Elsevier, vol. 39(1), pages 14-22, January.
    12. Di Matteo, Livio, 2014. "Physician numbers as a driver of provincial government health spending in Canadian health policy," Health Policy, Elsevier, vol. 115(1), pages 18-35.
    13. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    14. Thompson, Simon G. & Nixon, Richard M. & Grieve, Richard, 2006. "Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study," Journal of Health Economics, Elsevier, vol. 25(6), pages 1015-1028, November.
    15. Richard B. Freeman, 2006. "Learning from Other Economies: The Unique Institutional and Policy Experiments Down Under," The Economic Record, The Economic Society of Australia, vol. 82(257), pages 195-206, June.
    16. Rikke Munk Killingmo & Anne Therese Tveter & Milada C. Småstuen & Kjersti Storheim & Margreth Grotle, 2021. "Comparison of self-reported and public registered absenteeism among people on long-term sick leave due to musculoskeletal disorders: criterion validity of the iMTA Productivity Cost Questionnaire," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(6), pages 865-872, August.
    17. Payne, Greg & Laporte, Audrey & Foot, David K. & Coyte, Peter C., 2009. "Temporal trends in the relative cost of dying: Evidence from Canada," Health Policy, Elsevier, vol. 90(2-3), pages 270-276, May.
    18. Karolin Becker & Peter Zweifel, 2008. "Age and Choice in Health Insurance," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 1(1), pages 27-40, January.
    19. T Kifle & P Kler & CM Fleming, 2018. "Australian immigrantsâ labour market success: Does occupation matter?," Discussion Papers in Economics economics:201805, Griffith University, Department of Accounting, Finance and Economics.
    20. Ishizaki, Tatsuro & Imanaka, Yuichi & Oh, Eun-Hwan & Sekimoto, Miho & Hayashida, Kenshi & Kobuse, Hiroe, 2008. "Association between patient age and hospitalization resource use in a teaching hospital in Japan," Health Policy, Elsevier, vol. 87(1), pages 20-30, July.

    More about this item

    Keywords

    Economic; impacts; productivity; GDP; premature; mortality; illness; health; model; microsimulation;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijm:journl:v:7:y:2014:i:3:p:33-52. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.microsimulation.org/ijm/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jinjing Li (email available below). General contact details of provider: http://www.microsimulation.org/ijm/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.